1,721,006 research outputs found

    Macro-socioeconomic-energy Model for Technology Pathways, 7see-GB, 2017

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    In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic activity. 7see-GB is a computational model that links energy demand through to final economic consumption, and is used to explore decadal scenarios for the UK macroeconomy. This dataset includes the published model (*.vpm) from the source model 7see-GB, version 5-30 (14Nov17). They show how results were created for the paper “Consequences of selecting technology pathways on cumulative CO2 emissions for the UK”. The source model was developed in Vensim® (5.8b) and these published models can be viewed with the Vensim Reader, as provided with this dataset. There are instructions on how to navigate the published models and inspect variables shown in the paper. The .exe and .dmg files are free "Model Reader" executables for Windows/OSX which allow a user to run the model without buying the Vensim simulator

    Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB, 2016

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    In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic activity. 7see-GB is a computational model that links energy demand through to final economic consumption, and is used to explore decadal scenarios for the UK macroeconomy. This dataset includes the published model (*.vpm) from the source model 7see-GB, version 5-20(16Nov16). They show how results were created for the paper “Combining a computational macroeconomic model with trending of socio‐economic and energy relationships to generate business‐as‐usual scenarios”. The source model was developed in Vensim® (5.8b) and these published models can be viewed with the Vensim Reader, as provided with this dataset. There are instructions on how to navigate the published models and inspect variables shown in the paper. The .exe and .dmg files are free "Model Reader" executables for Windows/OSX which allow a user to run the model without buying the Vensim simulator

    Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB

    No full text
    In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic activity. 7see-GB is a computational model that links energy demand through to final economic consumption, and is used to explore decadal scenarios for the UK macroeconomy. This dataset includes two published models (*.vpm) from the source model 7see-GB, version 5-10 (22Apr15). They show how results were created for the paper “A Robust Data-driven Macro-socioeconomic-energy Model”. The source model was developed in Vensim® (5.8b) and these published models can be viewed with the Vensim Reader, as provided with this dataset. There are instructions on how to navigate the published models and inspect variables shown in the paper. The .exe and .dmg files are free "Model Reader" executables for Windows/OSX which allow a user to run the model without buying the Vensim simulator.a) 100922a_Vensim_venred32.zip - Vensim Model Reader for Windows and venred386.dmg for OSX. b) 141123a_7see5-10-GB_fbc1_lo-opt-hi_21Apr15.vpm: Published model “fbc1” in which investment feedback to the three larger industries is disconnected. It includes three model runs for various levels of feedback for each of the larger industries. c) 141123a_7see5-10-GB_fbc3_non-und-opt_22Apr15.vpm: Published model “fbc3” in which investment feedback to the three larger industries is reconnected. It includes three model runs for various levels damping of investment feedback. d) 150213a_7see_Vensim-published-model_instructions_v03_(22Apr15).pdf: Instructions on installing the Vensim Model Reader, opening the published models, navigating around the models and some examples of variables to inspect

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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